Tensors and Dynamic neural networks in Python with strong GPU acceleration
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Updated
Oct 21, 2026 - Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Open Machine Learning Compiler Framework
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
《深入理解 AI Infra:量化分析与系统设计》(李博杰 著)开源书稿:从硬件约束和模型架构出发,量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验
A flexible framework of neural networks for deep learning
High-performance TensorFlow library for quantitative finance.
NVIDIA cuML: GPU-Accelerated Machine Learning
On-device AI across mobile, embedded and edge for PyTorch
Time series forecasting with PyTorch
Achieve state of the art inference performance with modern accelerators on Kubernetes
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